Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313357834> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4313357834 endingPage "511" @default.
- W4313357834 startingPage "502" @default.
- W4313357834 abstract "The SPR(Self-Piercing Riveting) process is a mechanical joining process that is mainly applied to assembling multimaterial parts to reduce the weight of the car body. Because the quality of SPR joints is mainly evaluated through cross sectional inspection, which is a type of destructive inspection, it is expensive and time-consuming. Machine learning technology is being proposed as a non-destructive testing because it can predict the quality based on the signals generated during the process. However, research result on the quality prediction modeling of SPR joints have not yet been reported. In this study, the prediction accuracy according to the signal combination was compared and evaluated by applying the CNN algorithm using the displacement and load signals generated during the SPR process and the acoustic signal obtained from the acoustic sensor. The materials used in the experiment were SGAFC 1180Y, CFRP, and SPFC 590 and the thickness were 1.4 mm, 1.8 mm, and 1.0 m respectively and a three-layer SPR process was performed. After evaluating joining was performed by selecting the abnormal process conditions, with 12 conditions that may occur during the process. Consequently, in the case of the first model in which the CNN algorithm was based on displacement and load signals, the quality prediction accuracy was estimated to be 90.0%. In the case of the second model in which the CNN algorithm added acoustic signals to the displacement and load signals, the quality prediction accuracy was estimated to be 77.5%." @default.
- W4313357834 created "2023-01-06" @default.
- W4313357834 creator A5011837982 @default.
- W4313357834 creator A5017398519 @default.
- W4313357834 creator A5034876960 @default.
- W4313357834 creator A5047678891 @default.
- W4313357834 creator A5064156403 @default.
- W4313357834 date "2022-12-31" @default.
- W4313357834 modified "2023-09-30" @default.
- W4313357834 title "Study of Convolution Neural Network Based Deep Learning to Classify the Quality of Self-Piercing Riveting Joint" @default.
- W4313357834 cites W1986981734 @default.
- W4313357834 cites W2010883004 @default.
- W4313357834 cites W2291484428 @default.
- W4313357834 cites W2548570154 @default.
- W4313357834 cites W2624045800 @default.
- W4313357834 cites W2964121744 @default.
- W4313357834 cites W3127976118 @default.
- W4313357834 cites W3132396909 @default.
- W4313357834 cites W3175547531 @default.
- W4313357834 cites W3200512116 @default.
- W4313357834 cites W3203132272 @default.
- W4313357834 cites W3206127157 @default.
- W4313357834 cites W3209553615 @default.
- W4313357834 cites W4237251261 @default.
- W4313357834 doi "https://doi.org/10.5781/jwj.2022.40.6.6" @default.
- W4313357834 hasPublicationYear "2022" @default.
- W4313357834 type Work @default.
- W4313357834 citedByCount "0" @default.
- W4313357834 crossrefType "journal-article" @default.
- W4313357834 hasAuthorship W4313357834A5011837982 @default.
- W4313357834 hasAuthorship W4313357834A5017398519 @default.
- W4313357834 hasAuthorship W4313357834A5034876960 @default.
- W4313357834 hasAuthorship W4313357834A5047678891 @default.
- W4313357834 hasAuthorship W4313357834A5064156403 @default.
- W4313357834 hasBestOaLocation W43133578341 @default.
- W4313357834 hasConcept C107551265 @default.
- W4313357834 hasConcept C111472728 @default.
- W4313357834 hasConcept C111919701 @default.
- W4313357834 hasConcept C121332964 @default.
- W4313357834 hasConcept C127413603 @default.
- W4313357834 hasConcept C138885662 @default.
- W4313357834 hasConcept C153180895 @default.
- W4313357834 hasConcept C154945302 @default.
- W4313357834 hasConcept C15744967 @default.
- W4313357834 hasConcept C18555067 @default.
- W4313357834 hasConcept C199360897 @default.
- W4313357834 hasConcept C24890656 @default.
- W4313357834 hasConcept C2779530757 @default.
- W4313357834 hasConcept C2779843651 @default.
- W4313357834 hasConcept C41008148 @default.
- W4313357834 hasConcept C45347329 @default.
- W4313357834 hasConcept C50644808 @default.
- W4313357834 hasConcept C542102704 @default.
- W4313357834 hasConcept C57769158 @default.
- W4313357834 hasConcept C66938386 @default.
- W4313357834 hasConcept C81363708 @default.
- W4313357834 hasConcept C98045186 @default.
- W4313357834 hasConceptScore W4313357834C107551265 @default.
- W4313357834 hasConceptScore W4313357834C111472728 @default.
- W4313357834 hasConceptScore W4313357834C111919701 @default.
- W4313357834 hasConceptScore W4313357834C121332964 @default.
- W4313357834 hasConceptScore W4313357834C127413603 @default.
- W4313357834 hasConceptScore W4313357834C138885662 @default.
- W4313357834 hasConceptScore W4313357834C153180895 @default.
- W4313357834 hasConceptScore W4313357834C154945302 @default.
- W4313357834 hasConceptScore W4313357834C15744967 @default.
- W4313357834 hasConceptScore W4313357834C18555067 @default.
- W4313357834 hasConceptScore W4313357834C199360897 @default.
- W4313357834 hasConceptScore W4313357834C24890656 @default.
- W4313357834 hasConceptScore W4313357834C2779530757 @default.
- W4313357834 hasConceptScore W4313357834C2779843651 @default.
- W4313357834 hasConceptScore W4313357834C41008148 @default.
- W4313357834 hasConceptScore W4313357834C45347329 @default.
- W4313357834 hasConceptScore W4313357834C50644808 @default.
- W4313357834 hasConceptScore W4313357834C542102704 @default.
- W4313357834 hasConceptScore W4313357834C57769158 @default.
- W4313357834 hasConceptScore W4313357834C66938386 @default.
- W4313357834 hasConceptScore W4313357834C81363708 @default.
- W4313357834 hasConceptScore W4313357834C98045186 @default.
- W4313357834 hasIssue "6" @default.
- W4313357834 hasLocation W43133578341 @default.
- W4313357834 hasOpenAccess W4313357834 @default.
- W4313357834 hasPrimaryLocation W43133578341 @default.
- W4313357834 hasRelatedWork W1987569955 @default.
- W4313357834 hasRelatedWork W2000413250 @default.
- W4313357834 hasRelatedWork W2295021132 @default.
- W4313357834 hasRelatedWork W2755240195 @default.
- W4313357834 hasRelatedWork W2766634277 @default.
- W4313357834 hasRelatedWork W2767651786 @default.
- W4313357834 hasRelatedWork W2912288872 @default.
- W4313357834 hasRelatedWork W4312417841 @default.
- W4313357834 hasRelatedWork W564581980 @default.
- W4313357834 hasRelatedWork W2247788942 @default.
- W4313357834 hasVolume "40" @default.
- W4313357834 isParatext "false" @default.
- W4313357834 isRetracted "false" @default.
- W4313357834 workType "article" @default.